A Survey of Working Capital Policy Among Small Manufacturing Firms

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A Survey of Working Capital Policy
Among Small Manufacturing Firms
Richard Burns
Joe Walker
This study reports results of a nationwide survey on overall working capital policy
of small manufacturing firms. The survey instrument used was a modified version
of the 1980 Smith and Sell study [18] on large firms. A detailed 36-question form
queried firms on their overall working capital policies as well as on the
management of the components of working capital. Statistically significant
measures of association between working capital policies and tools were found
among many of the variables. However, many other expected relationships were
not confirmed.
I.
IN T R O D U C T IO N
Surveys indicate that a large portion of the financial manager’s time is
devoted to w orking capital m anagem ent. T h is is not surprising in that
current assets represent over 40% of the total assets of the typical
manufacturing firm [12, p. 12]. Because of the m agnitude and turnover rate
of this investm ent, w orking capital policy and m anagem ent are important
to financial m anagem ent.
W orking capital m anagem ent is of particular importance to the small
business. W ith lim ited access to the long-term capital markets, these firms
must rely more heavily on owner financing, trade credit and short-term bank
loans to finance their needed investm ent in cash, accounts receivable and
inventory. In addition, poor financial m anagem ent is one of the major causes
of failure am ong smaller firms [1, 16].
If this failure rate could be reduced, it w ould go a lo n g way towards
im proving the innovative capacity of the econom y. It w ould also help reduce
the unem ploym ent rate since new sm all businesses are one of the major
sources of em ploym ent in the econom y today (though there is controversy
[22] as to the m agnitude of this effect.)
For w orking capital decisions, surveys to date^ on small businesses, like
their counterparts on large businesses, have focused on the m anagem ent of
Richard Bums and Joe Walker • Department of Finance, University of Alabama at Birmingham,
Birmingham, AL 35294.
The Journal of Small Business Finance, 1(1): 61-74
ISSN: 1057-2287
Copyright® 1991 by JAI Press, Inc.
All rights of reproduction in any form reserved.
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JOURNAL OF SMALL BUSINESS FINANCE
1(1) 1991
the individual assets (e.g., cash [3,8,10,], accounts receivable [7,10], accounts
payable [3, 8, 21] and inventory [9, 10, 13, 14]. But the only studies [18, 19]
of overall w orking capital policy used samples based on Fortune’s 1000 and
500 largest industrial firms. T he im portant finding of those studies was a
sig n ifica n t rela tio n sh ip betw een various success m easures and the
em ploym ent of formal w orking capital policies and procedures. However,
no sim ilar broad-based studies have been made of overall w orking capital
m anagem ent am ong small firms.
T h is study, therefore, is primarily an exploratory investigation of the
extent to w hich various m anagem ent tools and procedures are used in the
overall m anagem ent of w orking capital in sm all m anufacturing businesses.
T h e questionnaire for the survey herein is based on the Sm ith and Sell
study [18] referenced above,^ but some of the questions were deleted or
m odified to better target the sm all business audience. In addition, other
questions were added to look at areas of sm all business financial management
that the authors felt were relevant. T h e survey was sent to small
m anufacturing firms across the U nited States. T h e response rate was 8.5%.
A lthough a copy of the survey itself can be obtained u p on request from the
authors, it was om itted from this paper due to space lim itations.
T h e organization of this paper first describes the survey instrum ent and
research design in Section II, reviews the results in Section III, presents an
overall summary in Section IV, and then suggests im plications and directions
for further research in Section V.
II.
SURVEY A N D RESEARCH D ESIG N
T he survey instrum ent used was an im p osin g seven page questionnadre that
included 36 questions w ith in three major parts. Part I, “Company
Inform ation,” was designed to establish the relative size and success of the
firm. Part II, “W orking Capital P olicy,” was concerned w ith overall working
capital policy inclu ding type, decision-maker, frequency of review, relative
importance, and tools and procedures for m anagem ent of overall working
capital. Part III, “M anaging W orking Capital C om ponents,” investigated
specific tools and procedures for m anaging the individual com ponents of
w orking capital, viz., cash, marketable securities, accounts receivable,
inventory, accounts payable, and short-term borrowing.
F ollow ing Sm ith and Sell [18], some questions asked the respondent to
write in a response whereas others asked for a selection am ong alternatives
or a ranking of the alternatives. Therefore, in the R E SU LT S section which
follow s shortly, the reader is cautioned to watch for a change in the style
of summarization. An “other” alternative was provided on m any questions,
A Survey of Working Capital Policy Among Small Manufacturing Firms
63
and respondents were encouraged to write in com m ents wherever they felt
appropriate.
T h e surveys were sent out during the period from January 1990 to July
1990. Q uestionnaires w ith cover letters and return envelopes were m ailed
after phone contact to 2127 sm all m anufacturing firms in the U nited States.
A lthough m anufacturing firms are only about 9% of the population of firms,
this category was chosen because of the anticipated hom ogeneity of
responses. T h e m ailin g list was obtained from Zeller & Letica, and it included
all m anufacturing firms w ith an em ployee range of 25 to 100. A lthough this
size range was originally chosen as part of an earlier SBA research proposal,
many of the firms on the m ailin g list had experienced significant growth
in the number of em ployees. Therefore, it was decided to include all size firms
up to 500 em ployees, the SBA size definition for m ost sm all m anufacturing
businesses [4]. O ut of 186 responses, 184 were w ithin the 500 em ployee lim it.
A lthough this sam ple is obviously biased toward the lower end of that range,
it may not be a serious problem since firms w ith 100 employees or less
comprise 97.9% of the SBA Sm all Business Data Base [11].
III.
R E SU LT S
T he results in this section are covered under three headings:
(1)
(2)
(3)
C om pany Inform ation,
W orking Capital Policy, and
M anaging W orking Capital Com ponents.
C om pany Inform ation Results
T he first five questions in the “com pany inform ation” section were
designed to collect summary statistics on the firm. Statistics on this are given
in Table 1.
T he average age of the sm all businesses in this survey is probably h igh
when compared to that of sm all businesses in general. However, it is probably
more typical of the m anufacturing segm ent w hich has been losing ground
to newer service-oriented firms in the last decade and also because the capital
intensity of m anufacturing industries discourages entry. In any case, this
sample thus represents a group of more stable sm all businesses.
F ollow in g the Sm ith and Sell [18] m ethodology, for statistical inference
purposes, the responding firms were broken down into three subgroups
according to sales^: large (greater than $6 m illion), m edium (between $4 and
$6 m illion), and sm all (under | 4 m illion). However, because of lack of access
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Table 1
Summary Statistics on Firms Replying to Questionnaire
Min
Max
28
4
148
65
59
10
450
7
5
8
1
80
4
3
6
0.2
60
Mean
Median
Variable
N
Years in operation
184
37
30
Number of full-time
employees
184
79
Average annual sales in
$ millions over past 3-5 years
184
Current level of total assets
in 1 millions
176
Std. Dev.
to published estimates of ROI, the firms were sim ply asked to provide their
ow n subjective estimates of profitability (high, average, or below average).
Again, follow in g the lead of Sm ith and Sell [18] and more recently the
work of Sm ith and Belt [19], chi-square tests were run on the various working
capital categories w ith size, profitability, type of w orking capital policy
(cautious or aggressive, written or inform al), and firm age. There is no claim
for causality anywhere in this study, merely the notice of correlation. Due
to space lim itations, only the significant (5% or better) tests were reported.
In addition, on many of the tests, the cells were com bined in order to prevent
statistical “w arnings” on “sm all” cells (frequency of 5 or less), but test results
so warned were not reported since the results were suspect.
W orking Capital Policy Results
A lthough w orking capital constitutes over a third of total assets, less
than a fourth of the m anager’s time is spent on it. T h is w ould seem to be
a disproportionate result to the 60% figure in [5], but if the cost of devoting
more time to w orking capital m anagem ent is too high, it may indeed be a
rational response. There are arguments [2, pp. 364-365], however, to indicate
that the application of more sophisticated methods of financial analysis may
not be worth the cost in sm all businesses.
As expected, a low 6.5% of the firms had a written w orking capital policy;
35.3% had no explicit w orking capital policy whatsoever. 37.8% of the firms
had a cautious w orking capital policy, and only 11.6% had an aggressive
working capital policy. T he other 50.6% said it depended on the situation.
T he president by far had the major share of the responsibility for
working capital policy in 66.7% of the responses, follow ed by 11.5% for the
vice-president of finance. T he remainder was more or less evenly distributed
am ong the other officers. Of course, this em phasis on the president is largely
A Survey of Working Capital Policy Among Small Manufacturing Firms
65
due to the lack of specialization of m anagem ent in sm all businesses.
However, at the 0.018 level of significance, this responsibility was given to
specialized officers in the larger firms. Furthermore, in the subset of younger
(less than 30 years old) firms, this relationship held at the 0.006 level (but
not in the older group).
40% of the firms reviewed w orking capital policy whenever necessary
follow ed by 23.6% m onthly and 16.4% on a quarterly basis. At the 0.014 level
of significance, the more profitable firms tend to review m onthly and
quarterly.
T he next six questions were designed to look at overall w orking capital
tools and procedures.
A question was added to this part of the sm all business questionnaire
to look at the effects of inflation. 54.9% of the firms said inflation had no
effect on w orking capital levels, whereas 27.4% felt that it caused w orking
capital levels to decrease. T he 17.7% remainder felt that inflation tended to
increase w orking capital levels. For the subset of younger firms, however,
the larger of those said inflation either increased or had no effect on w orking
capital levels at the 0.022 level of significance. Furthermore, at the 0.031 level
of significance, the more cautious firms said inflation decreased w orking
capital levels.
T he next question used a ranking format follow in g the format of other
researchers [18].^ T h e com posite ranking (a w eighted average of the rankings)
was “h ighest” (1.38 on a 4-point scale) for using the current ratio to m onitor
working capital over dm e. T he second m ost im portant tool for m onitoring
working capital was w orking capital turnover w ith a score of 1.77. W orking
capital as a percent of total assets was a distant third (2.23). At the 0.01 level
of significance, the more profitable firms ranked “w orking capital turnover”
lower than 1.
Considering possible changes in the m anagem ent of certain w orking
capital com ponents, 54.6% of the respondents sometimes used ROI, 22.4%
always used ROI, and 23.0% never used ROI. U se of ROI and profitability
were significantly related at the 0.004 level, w ith those firms using it having
greater profitability. In addition, the firms w ith written vs. inform al working
capital policies were significantly (also at the 0.004 level) more prone to
always use an ROI criterion in this context.
As to whether firms considered the im plications of w orking capital on
the firm’s capital budgeting projects, 46.2% of the firms always did so, and
42.4% of the firms som etim es did so, w hich seems to indicate a high level
of awareness of the im pact of w orking capital as a use of funds. T he
relationship of this w ith size was significant at the 0.014 level. It showed
that larger firms are more aware of w orking capital impacts on capital
budgeting.
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A question was added to this survey to look at com puter usage in working
capital areas of small businesses. T he largest area in w hich computers were
used was that of accounts receivable (15.7%) follow ed by accounts payable
(14.7%) and inventory (12.5%). Cash budgeting was used in 8.7% of the
responses. Only 22 respondents did not use the computer at all.
T he accounting area was probably more heavily dependent on the
computer because of the need for m eeting the requirements of the tax laws
and probably also because of the greater availability of com puter programs
in this area. Further, computers are at their best w hen perform ing routine
high-volum e tasks that require accuracy and speed. T h u s the obvious
application to w orking capital in m anaging volum es of customer and vendor
accounts and inventory items.
T he largest subgroups that appeared in the answers were those firms
that answered “abed” (cash budgeting, accounts receivable, inventory, and
accounts payable, respectively), “bed” (receivables, inventory, payables) and
“bd” (receivables and payables). A ll other com binations were grouped into
“other.” In testing, then, the larger firms had more entries in these main
categories than expected at the 0.000 level of significance. Further, firms with
aggressive w orking capital policies were more represented in the “abed”
category at the 0.002 level of significance. And finally, for younger firms,
they also made more use of “abed” at the 0.005 level of significance.
M anaging W orking Capital Com ponents Results
Cash
T h e m ost prevalent interval of time for cash budgeting was weekly (40%),
closely follow ed by m onthly (28.3%) and then daily (20%). At the 0.026 level
of significance, the firms w ith written w orking capital policies were more
likely to budget on a daily basis.
T he next eleven questions used the ranking format m entioned earlier;
hence, the summary w ill be different from that of the previous exclusive
choice formats.
W ith regard to the use of cash budgeting, “p lan n in g for surpluses and
shortages of cash” was m entioned m ost often (n = 159), and it was clearly
the most im portant use of the cash budget w ith a com posite score of 1.16
followed distantly by the other categories of response.
As for determ ining the target cash balance, the strongest response in
terms of the com posite ranking was “the need for transactions balances” (n
= 150 w ith a com posite score of 1.19) follow ed distantly by the other
categories of “com pensating balances determined by banks” and “the level
of interest rates.”
A Survey of Working Capital Policy Among Small Manufacturing Firms
67
R egarding the use of idle cash, the strongest response was that of the
90 respondents w ho ranked cash m anagem ent accounts as their first choice
w ith a com posite score of 1.55. T h e next highest com posite ranking was given
to m oney market m utual funds (1.82) follow ed by certificates of deposit (1.95).
37 respondents did not invest idle cash at all. T -B ills were used roughly about
a fourth as m uch as cash m anagem ent accounts, and the com posite score
of 2.93 bears this out.
Accounts Receivable
For credit granting techniques, the highest measure was the 191
responses w ith a com posite ranking of 1.30 for the “C’s of Credit” follow ed
distantly by “sequential credit analysis” and “credit scoring.”
For m o n ito rin g accounts receivable, the “a g in g schedule” and
“collection period” were the two strongest response categories (n = 170 w ith
score of 1.45 and n = 145 w ith score of 1.83). “Accounts receivable turnover”
was a distant third w ith a 2.42.
In evaluating the credit terms and policy parameters, “marketing
considerations” and “possible bad debt losses” had the largest number of
responses (152,154, respectively) but the former had the higher mean ranking
(1.63 vs. 1.94). However, firms w ith aggressive w orking capital policies
ranked “marketing considerations” more high ly at the 0.052 level of
significance but ranked “possible bad debt losses” lower at the 0.000 level
of significance.
Finally, look in g at the evaluation of credit policy changes, “firm sales”
had the highest com posite ranking of 1.99 (n = 135) follow ed by the “level
of accounts receivable” w ith a score of 2.16 (n = 140). T he “level of firm
profits” and “return on investm ent” are close followers here too (scores of
2.36 and 2.68, respectively), indicating their use as backups in evaluating
credit changes. At the 0.030 level of significance, firms w ith more aggressive
working capital policies ranked “firm sales” w ith a 1.
Inventory
W ith regard to the determ ination of storage (reorder) points, the
categories of “computerized inventory control systems” and “ad hoc”
decisions were h ig h on their com posite ranking scores w ith 1.61 {n = 100)
and 1.75 {n = 116), respectively. T h e firms w ith aggressive working capital
policies ranked “ad hoc decisions” lower at the 0.002 level of significance.
As for determ ining reorder quantities, the strongest response was clearly
the “availability of parts and materials” w ith n = 152 and a 1.64 com posite
score. T h is was follow ed distantly by a score of 2.09 (n = 148) for “price
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discounts on purchases.” Again, the other categories had substantial
responses but only as secondary considerations for deciding on reorder
quantities for inventory purchased by the firm.
C oncerning the replenishm ent quantities for inventory produced by the
firm, the parameter m entioned m ost often (n = 151) was “production
schedules” w ith a com posite score of 1.42 follow ed distantly by “seasonality
of demand” w ith a com posite score of 2.09.
In evaluating proposed changes in inventory policy, the “level of
inventory” itself w ith a com posite score of 1.82 {n = 157) and “inventory
costs” w ith a com posite score of 1.96 (n = 150) were clearly the tw o strongest
responses. T he other categories follow ed distantly but fairly equally. T he
more profitable firms ranked “inventory costs” less than 1 at the 0.001 level
of significance.
Accounts Payable
82.0% of the responses reported accounts payable less than accounts
receivab le w ith 4.4% r ep o rtin g th em e q u a l, m e a n in g th at sm all
manufacturing firms were typically net suppliers of trade credit, an
unexpected finding.
T o see if sm all businesses understood the percentage opportunity cost
of not taking discounts, they were asked to estimate the approxim ate annual
cost of not taking discounts w hen trade credit was on terms of 2/10, net 30.
T he mean response of the 145 com panies w ho answered this was to estimate
that cost at 13.57% w ith a standard deviation of 14.86%. T h e m edian estimate
was 10.0%. T he m inim um estimate was 0.0%, and the m axim um estimate
was 73%. Many of the respondents seemed to m isunderstand the question
entirely and to answer in dollar terms. O nly 26 of the 145 answered anywhere
close to the correct answer of 36.7%. At the 0.011 level of significance, the
larger firms were more likely to answer “correctly” (between 30% and 40%).
Further, this held for the younger firms at the 0.033 level of significance.
However, in look in g at the cash discount policy, 42.9% always took the
discount and paid on the discount date, and another 33.0% som etim es took
the discount by paying on the discount date. O nly 5.0% were able to “stretch”
their payables and still get the discount. 18.7% never took the discount. So,
in spite of sm all firm failure to accurately calculate the cost of not taking
discounts, 75.9% of them always or sometimes took them! T h is is born out
in the tests by the extraordinarily h igh (0.000) significance level for the
relationship between discount policy and higher profitability. Further, for
younger firms, the more profitable ones always took the discount at the 0.002
level of significance.
A Survey of Working Capital Policy Among Small Manufacturing Firms
69
A gain, however, there is no proof of causation here. For exam ple, in
another study [21], there is evidence that trade credit is taken for other reasons
(such as establishing a good credit record) than the im m ediate monetary
benefit.
Short-Term Funding
R egarding the primary use of short-term loans, 33.9% of the respondents
checked “regular and constant part of total firm fin ancing” follov^ed by the
27.9% w ho checked “nonspontaneous need as it arises.” 24.0% said they did
not borrow from com m ercial banks.
Concerning the kinds of short-term loans obtained from commercial
banks, 44.1% were “lines of credit w ith com pensating balances” follow ed by
37% w ho received “sim ple interest loan s.” “D iscounted loans” and “loans
w ith com pensating balances” were alm ost negligible.
As to collateral requirements on com m ercial bank loans, 46.5% of the
respondents said loans always required collateral, and another 22.9% said
loans som etim es required collateral; but 30.6% said loans never require
collateral. T h e relationship w ith profitability was significant at the 0.000
level and seemed to indicate that the more profitable firms obtained loans
w ithout collateral.
A ranking question was used to look at the terms w hich affected the
cost of borrowing. “Fees” was clearly the m ost im portant elem ent of that
cost w ith a com posite score of 1.59 (n = 87). T h e other categories of discounts,
com pensating balances, and collateral requirements also received substantial
responses, but their com posite rankings were 2.28,2.17, and 2.33, respectively,
indicating a secondary importance.
And finally, u sin g another ranking question to look at m ain sources
of funding, “loans from com m ercial banks” predominated w ith a com posite
score of 1.61 (n — 129) follow ed by “stretching accounts payable” w ith a
com posite score of 2.34 (n=102) follow ed closely by “use of float” w ith a
score of 2.31. T h e other categories of u sin g accruals, selling receivables,
depreciation, and tax deferrals were m inor in comparison. Larger firms
ranked float num ber 1 more often at the 0.035 level of significance, and firms
with more aggressive w orking capital policies ranked loans from commercial
banks number 1 at the 0.043 level of significance.
IV.
SUM M ARY
In summary, the representative sm all manufacturer of under 500 employees
in this survey w ould look like this: it w ould have been in business for about
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37 years, have about 78 employees, average about $7 m illio n in sales per year,
have about $4 m illion in total assets, and w ould consider itself of “average
profitability.”
39% of the company's total assets w ould be w orking capital, but only
24% of the financial m anager’s time w ould be spent on w orking capital.
Overall, the com pany w ould have an inform al procedure or n o written policy
for w orking capital managem ent. However, those that did have a written
policy w ould probably be more profitable. W hat policy existed w ould be
handled by the president and w ould be reviewed whenever necessary (though
m onthly or quarterly for the more profitable firms).
Inflation w ould prim arily be seen as having no effect or possibly a
decrease on w orking capital. T h e current ratio w ould be the m ain measure
for m onitoring w orking capital, and a ROI w ould be used som etim es or
always to consider possible changes in w orking capital com ponents. Use of
ROI also correlated w ith profitability and the presence of a written working
capital policy. Sometimes or always changes in w orking capital w ould be
considered along w ith capital budgeting projects, especially for larger firms
and those w ith written w orking capital policies. Computers w ould be used
m ost of all for accounts receivable and accounts payable, alth ough to a lesser
extent for inventory control and cash budgeting.
For cash managem ent, the typical com pany w ould use cash budgeting
on a weekly basis m ainly to plan for shortages and surpluses of cash, though
aggressive firms and those w ith written w orking capital policies w ould plan
using a daily format. It w ould determine its target cash balance based on
its need for transactions balances, and it w ould put its idle cash in a cash
m anagem ent account or certificate of deposit.
For accounts receivable, the typical com pany w ou ld use the “C’s of
credit” to grant credit, but it w ould use both the collection period and aging
schedule to m onitor the paym ent behavior of credit customers. It would
consider marketing effects and possible bad debt losses to evaluate its credit
terms and policy, and it w ould look prim arily at firm sales in evaluating
proposed changes in credit terms.
W ith regard to inventory p o licy , the typ ical firm w o u ld use
computerized inventory control systems to decide on the appropriate amount
to replenish its storage (reorder) points by u sin g ad hoc decisions, and it
w ould m ainly consider the availability of parts and materials in deciding
on reorder quantities for inventory purchased by the com pany. However, in
deciding on replenishm ent quantities for inventory produced by the firm,
it w ould look m ainly at the production schedule. T h e primary consideration
in evaluating proposed changes in inventory policy w ould be the level of
inventory.
A Survey of Working Capital Policy Among Small Manufacturing Firms
71
As for accounts payable, the typical firm w ould be a net supplier of
credit. It w ould seem to believe that the cost of foregoing trade discounts
is only about 13%, yet it w ould always or som etim es (especially if profitable)
take the discount.
W ith respect to short-term loans, the primary use for those funds w ould
be regular and constant part of total firm financing, especially for aggressive
firms, although nonspontaneous need plays a close role. About a fourth of
firms sim ply don’t borrow short term. For those w ho do, sim ple interest and
lines of credit w ould be the two primary types of loans, and such loans w ould
sometimes or always require collateral, although not for the more profitable
firm or firm w ith a written w orking capital policy (again, no causal
relationship demonstrated). Fees w ould be the primary factor affecting
estimates of the cost of borrowing. T h e major sources of short-term funding
w ould be loans from com m ercial banks and stretching accounts payable.
In testing for relationships of these practices w ith size or profitability,
only the fo llo w in g chi-square tests were found statistically significant at the
5% level or better: larger firms gave their w orking capital policy responsibility
to specialized officers, especially in younger firms; more profitable firms
reviewed their w orking capital policies on m onthly and quarterly bases; firms
w ith v^itten w orking capital policies reviewed on a m onthly or quarterly
basis versus irregular reviewing; firms w ith cautious w orking capital policies
reported inflation as decreasing their w orking capital levels; the more
profitable firms and also those w ith a written w orking capital policy used
an ROI criterion in look in g at changes in the managem ent of certain
w orking capital com ponents. More profitable firms ranked working capital
turnover lower (ranks 2, 3, 4, etc.) as a tool for m onitoring. T he larger firms
and also those w ith a written w orking capital policy took into account the
effect of w orking capital on capital budgets. Larger, aggressive, and younger
firms tended to use the computer in the combination of uses in cash
budgeting, accounts receivable and payable, and inventory. Aggressive firms
and firms w ith written w orking capital policies used cash budgeting on a
daily basis. Firms w ith aggressive w orking capital policies ranked marketing
considerations higher w hen evaluating credit terms and tended to rank bad
debt loss considerations lower. However, for analyzing credit term changes,
firms w ith aggressive w ork in g capital p o licies ranked “sales as a
consideration” higher. In regards to inventory, the firms w ith more
aggressive w orking capital policies ranked “ad hoc decisions” higher for
determ ining reorder points. Also, more profitable firms ranked “inventory
costs” lower w hen evaluating changes in inventory policy. T he profitable
firms always or som etim es take the discount on payables, but the aggressive
firms and those w ith written w orking capital policies were net users of trade
credit. T h e larger and younger firms seemed to better understand the actual
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cost of using trade credit. T he more profitable firms and also those w ith
written w orking capital policies obtain loans w hich d on ’t require collateral.
Firms w ith aggressive w orking capital policies used short-term loans for
regular and cyclical uses as opposed to irregular need. Larger firms ranked
the use of float higher, and firms w ith aggressive w orking capital policies
ranked the use of commercial bank loans higher.
V.
F U T U R E RESEARCH
Much of the data of this research tend to support what financial theory would
describe as value-m axim izing w orking capital policies, as show n above.
However, it is puzzling why other sound practices d on ’t show up as
distinguishing successful from unsuccessful firms. Directions for further
research w ould seem to lie in more detailed longitud inal studies of the life
cycles of sm all firms in regard to their w orking capital policies. Many of
the tests seemed to indicate sim ilar policies for sm all and large firms, but
not for the intermediate sizes.
In addition, there probably are interrelationships am ong the various
working capital categories, and that possibility was also (purposefully)
neglected in this study. Future studies may yet show “clustering” of policies
am id the categories of size, profitability, policy form ality or aggressiveness.
One interesting exam ple in particular is how firms can be so ignorant
of the cost of not taking discounts, and yet have the incentives to do so
anyway.
T he problems of surveys like this one are only too w ell-know n, but in
spite of such they represent an attempt to learn more about actual small
business financial practices and their w orking capital practices in pzirticular.
Whatever its shortcom ings, it adds more to the know ledge and database of
this relatively unexplored area of finance, and provides the profession with
new questions to direct further research.
Acknowledgments: The authors wish to thank Gail Stephens, Ron Barnes, Marc Lawson,
Nancy Hickey, Donna Best, Shabbir Hussain and the other finance students who tirelessly
lent their time to the completion of this survey. In addition, we thank Fred Scherr of West
Virginia University and Jerome Osteryoung of Florida State for especially helpful comments.
N O T ES
1.
2.
The authors are greatly indebted to Richard G.P. McMahon [15] for sending his study
which greatly assisted in the literature search.
Permission was obtained from Smith and Sell to duplicate and/or modify their survey
for the authors’ use.
A Survey of Working Capital Policy Among Small Manufacturing Firms
73
3.
The breakdown according to size could have been done with number of employees or
total assets. However, these were all highly and significantly correlated. The chi-square
tests were run with these other measures but differed very little in results. The decision
to use sales was therefore made on the basis of precedent set by [18, 19].
4. The composite average is merely a weighted average of the rankings (weighted by the
percent of respondents). Smith and Sell [18] declined to statistically analyze this figure
since it implied cardinal measurability which was inappropriate for the kinds of questions
asked in this study. Since this study is highly similar to theirs, the authors herein follow
suit. Chi-square tests were run, however, on the frequencies of the rankings with other
variables.
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